Attendance System based on Blockchain and Face Recognition

Abstract

Blockchain is considered one of the most innovative techniques in the recent decade, this is because it takes advantage of the trustless, distributed, and tamper-proof. Researchers have established the existence of blockchain in regions from finance to health care records. They are also devoted to extending the application in other areas. This paper proposes an attendance system integrating blockchain and face recognition techniques. The attendance system consists of two parts, the face recognition component enables the system to automatically take attendance of a participant, which reduces complicated paperwork and saves time. Then, it stores attendance information in a blockchain-based database component at a specific time, providing a reliable and tamper-proof solution where no one is entitled to edit or delete data. We introduced an attendance system that utilizes a convolutional neural network for face recognition and stores the attendance data on the blockchain. The system shows decent resilience on tamper, and saves time for automatic attendance marks.